@inproceedings{09eb8bebcff342da94f2c1a6248d1078,
title = "Radar HRRP target recognition based on Gradient Boosting Decision Tree",
abstract = "Radar High Resolution Range Profile (HRRP) represents the radial distribution of target scattering centers on radar line of sight, which infers something about target structure signatures. In this paper, the method of HRRP target recognition based on Gradient Boosting Decision Tree (GBDT) is proposed and the method how to choose model parameters is investigated. The experimental results from measurement data have shown that GBDT can achieve better recognition results and high calculation efficiency than SVM and Naive Bayes classifier.",
keywords = "gradient boosting decision tree, high resolution range profile, target recognition",
author = "Suixue Wang and Jinbing Li and Yanhua Wang and Yang Li",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016 ; Conference date: 15-10-2016 Through 17-10-2016",
year = "2017",
month = feb,
day = "13",
doi = "10.1109/CISP-BMEI.2016.7852861",
language = "English",
series = "Proceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1013--1017",
booktitle = "Proceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016",
address = "United States",
}